Triple
T7585522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uniformed EMS Officers Union |
E179602
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
UEMSO
UEMSO is the acronym for the Uniformed EMS Officers Union, a labor organization representing uniformed emergency medical services officers.
|
E674501
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UEMSO | Statement: [Uniformed EMS Officers Union, abbreviation, UEMSO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UEMSO Context triple: [Uniformed EMS Officers Union, abbreviation, UEMSO]
-
A.
UMS
UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
-
B.
UMS
UMS is a public university system in the U.S. state of Missouri that oversees multiple campuses, including the University of Missouri in Columbia.
-
C.
UMI
UMI is the three-letter ISO 3166-1 alpha-3 country code assigned to Kingman Reef, an uninhabited U.S. territory in the central Pacific Ocean.
-
D.
USEU
USEU is the official diplomatic mission representing the United States government to the institutions of the European Union in Brussels.
-
E.
UMES
UMES is a public historically Black land-grant university located in Princess Anne, Maryland, known for its programs in agriculture, marine and environmental science, and hospitality management.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UEMSO Triple: [Uniformed EMS Officers Union, abbreviation, UEMSO]
Generated description
UEMSO is the acronym for the Uniformed EMS Officers Union, a labor organization representing uniformed emergency medical services officers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UEMSO Target entity description: UEMSO is the acronym for the Uniformed EMS Officers Union, a labor organization representing uniformed emergency medical services officers.
-
A.
UMS
UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
-
B.
UMS
UMS is a public university system in the U.S. state of Missouri that oversees multiple campuses, including the University of Missouri in Columbia.
-
C.
UMI
UMI is the three-letter ISO 3166-1 alpha-3 country code assigned to Kingman Reef, an uninhabited U.S. territory in the central Pacific Ocean.
-
D.
USEU
USEU is the official diplomatic mission representing the United States government to the institutions of the European Union in Brussels.
-
E.
UMES
UMES is a public historically Black land-grant university located in Princess Anne, Maryland, known for its programs in agriculture, marine and environmental science, and hospitality management.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f995c8a8819089817bd679640017 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861812e08819097fd14fe2b8fee13 |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c862466fd481908ea5772e76a88d95 |
completed | March 28, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c862cae0448190859a07db338e1de7 |
completed | March 28, 2026, 11:22 p.m. |
Created at: March 27, 2026, 3:52 p.m.